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@ -504,7 +504,7 @@ class Data2VecAudioModel(BaseFairseqModel):
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conv_feat_all = torch.cat([conv_feat_all, features[i]])
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randint = np.random.randint(10000)
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np.save(f'/home/work/workspace/icefall/egs/librispeech/ASR/conv_feat/{randint}.npy', conv_feat_all.cpu().numpy())
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np.save(f'/home/work/workspace/icefall/egs/librispeech/ASR/conv_feat/{sid}/{randint}.npy', conv_feat_all.cpu().numpy())
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prompt = prompt.expand((features.size()[0], prompt.size()[0], prompt.size()[1]))
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features = torch.cat([prompt, features], dim=1)
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